I have to forecast daily sales for my company and I have a list of 300+ potential variables that can be predictive of the daily sales. How do I decide which one to include in my time series regression model? Do I have to go through steps like prewhitening and cross-correlation function for each of them? How do I check multicollinearity amont these 300+ explanatory variable? Thanks.